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AndrewEstopinan

Bright Data MCP Server

Facebook posts

web_data_facebook_posts

Fetch structured data from Facebook post URLs, including content, engagement metrics, and metadata, to enable social media analysis and monitoring.

Instructions

Structured Facebook post data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesFacebook post URL
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not state whether the operation is read-only, whether authentication is needed, what the output format is, or any constraints like rate limits. The phrase 'structured data' hints at output but is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short, but it is under-specified rather than appropriately concise. It reads as a fragment rather than a complete tool description and does not earn its place by conveying essential information about the tool's function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter tool with no annotations and no output schema, the description still fails to explain what the tool returns or how it behaves. The text 'Structured Facebook post data' is not enough for an agent to understand the tool's capabilities or limitations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already provides full coverage for the single parameter 'url' with a description 'Facebook post URL' (100% coverage). The description adds no additional meaning beyond what the schema provides, so the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Structured Facebook post data' identifies the resource (Facebook posts) but lacks a verb indicating what the tool does (fetch, scrape, search, etc.). It adds the adjective 'structured' but does not distinguish it from sibling tools like web_data_facebook_marketplace or other web_data tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. It does not mention any context, prerequisites, or comparisons to sibling tools like smart_scrape or other social media scrapers.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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